Cargando…

Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda

BACKGROUND: International and global organisations advocate targeting interventions to areas of high HIV prevalence (ie, hotspots). To better understand the potential benefits of geo-targeted control, we assessed the extent to which HIV hotspots along Lake Victoria sustain transmission in neighbouri...

Descripción completa

Detalles Bibliográficos
Autores principales: Ratmann, Oliver, Kagaayi, Joseph, Hall, Matthew, Golubchick, Tanya, Kigozi, Godfrey, Xi, Xiaoyue, Wymant, Chris, Nakigozi, Gertrude, Abeler-Dörner, Lucie, Bonsall, David, Gall, Astrid, Hoppe, Anne, Kellam, Paul, Bazaale, Jeremiah, Kalibbala, Sarah, Laeyendecker, Oliver, Lessler, Justin, Nalugoda, Fred, Chang, Larry W, de Oliveira, Tulio, Pillay, Deenan, Quinn, Thomas C, Reynolds, Steven J, Spencer, Simon E F, Ssekubugu, Robert, Serwadda, David, Wawer, Maria J, Gray, Ronald H, Fraser, Christophe, Grabowski, M Kate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167508/
https://www.ncbi.nlm.nih.gov/pubmed/31953184
http://dx.doi.org/10.1016/S2352-3018(19)30378-9
_version_ 1783523575245832192
author Ratmann, Oliver
Kagaayi, Joseph
Hall, Matthew
Golubchick, Tanya
Kigozi, Godfrey
Xi, Xiaoyue
Wymant, Chris
Nakigozi, Gertrude
Abeler-Dörner, Lucie
Bonsall, David
Gall, Astrid
Hoppe, Anne
Kellam, Paul
Bazaale, Jeremiah
Kalibbala, Sarah
Laeyendecker, Oliver
Lessler, Justin
Nalugoda, Fred
Chang, Larry W
de Oliveira, Tulio
Pillay, Deenan
Quinn, Thomas C
Reynolds, Steven J
Spencer, Simon E F
Ssekubugu, Robert
Serwadda, David
Wawer, Maria J
Gray, Ronald H
Fraser, Christophe
Grabowski, M Kate
author_facet Ratmann, Oliver
Kagaayi, Joseph
Hall, Matthew
Golubchick, Tanya
Kigozi, Godfrey
Xi, Xiaoyue
Wymant, Chris
Nakigozi, Gertrude
Abeler-Dörner, Lucie
Bonsall, David
Gall, Astrid
Hoppe, Anne
Kellam, Paul
Bazaale, Jeremiah
Kalibbala, Sarah
Laeyendecker, Oliver
Lessler, Justin
Nalugoda, Fred
Chang, Larry W
de Oliveira, Tulio
Pillay, Deenan
Quinn, Thomas C
Reynolds, Steven J
Spencer, Simon E F
Ssekubugu, Robert
Serwadda, David
Wawer, Maria J
Gray, Ronald H
Fraser, Christophe
Grabowski, M Kate
author_sort Ratmann, Oliver
collection PubMed
description BACKGROUND: International and global organisations advocate targeting interventions to areas of high HIV prevalence (ie, hotspots). To better understand the potential benefits of geo-targeted control, we assessed the extent to which HIV hotspots along Lake Victoria sustain transmission in neighbouring populations in south-central Uganda. METHODS: We did a population-based survey in Rakai, Uganda, using data from the Rakai Community Cohort Study. The study surveyed all individuals aged 15–49 years in four high-prevalence Lake Victoria fishing communities and 36 neighbouring inland communities. Viral RNA was deep sequenced from participants infected with HIV who were antiretroviral therapy-naive during the observation period. Phylogenetic analysis was used to infer partial HIV transmission networks, including direction of transmission. Reconstructed networks were interpreted through data for current residence and migration history. HIV transmission flows within and between high-prevalence and low-prevalence areas were quantified adjusting for incomplete sampling of the population. FINDINGS: Between Aug 10, 2011, and Jan 30, 2015, data were collected for the Rakai Community Cohort Study. 25 882 individuals participated, including an estimated 75·7% of the lakeside population and 16·2% of the inland population in the Rakai region of Uganda. 5142 participants were HIV-positive (2703 [13·7%] in inland and 2439 [40·1%] in fishing communities). 3878 (75·4%) people who were HIV-positive did not report antiretroviral therapy use, of whom 2652 (68·4%) had virus deep-sequenced at sufficient quality for phylogenetic analysis. 446 transmission networks were reconstructed, including 293 linked pairs with inferred direction of transmission. Adjusting for incomplete sampling, an estimated 5·7% (95% credibility interval 4·4–7·3) of transmissions occurred within lakeside areas, 89·2% (86·0–91·8) within inland areas, 1·3% (0·6–2·6) from lakeside to inland areas, and 3·7% (2·3–5·8) from inland to lakeside areas. INTERPRETATION: Cross-community HIV transmissions between Lake Victoria hotspots and surrounding inland populations are infrequent and when they occur, virus more commonly flows into rather than out of hotspots. This result suggests that targeted interventions to these hotspots will not alone control the epidemic in inland populations, where most transmissions occur. Thus, geographical targeting of high prevalence areas might not be effective for broader epidemic control depending on underlying epidemic dynamics. FUNDING: The Bill & Melinda Gates Foundation, the National Institute of Allergy and Infectious Diseases, the National Institute of Mental Health, the National Institute of Child Health and Development, the Division of Intramural Research of the National Institute for Allergy and Infectious Diseases, the World Bank, the Doris Duke Charitable Foundation, the Johns Hopkins University Center for AIDS Research, and the President's Emergency Plan for AIDS Relief through the Centers for Disease Control and Prevention.
format Online
Article
Text
id pubmed-7167508
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier B.V
record_format MEDLINE/PubMed
spelling pubmed-71675082020-04-22 Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda Ratmann, Oliver Kagaayi, Joseph Hall, Matthew Golubchick, Tanya Kigozi, Godfrey Xi, Xiaoyue Wymant, Chris Nakigozi, Gertrude Abeler-Dörner, Lucie Bonsall, David Gall, Astrid Hoppe, Anne Kellam, Paul Bazaale, Jeremiah Kalibbala, Sarah Laeyendecker, Oliver Lessler, Justin Nalugoda, Fred Chang, Larry W de Oliveira, Tulio Pillay, Deenan Quinn, Thomas C Reynolds, Steven J Spencer, Simon E F Ssekubugu, Robert Serwadda, David Wawer, Maria J Gray, Ronald H Fraser, Christophe Grabowski, M Kate Lancet HIV Article BACKGROUND: International and global organisations advocate targeting interventions to areas of high HIV prevalence (ie, hotspots). To better understand the potential benefits of geo-targeted control, we assessed the extent to which HIV hotspots along Lake Victoria sustain transmission in neighbouring populations in south-central Uganda. METHODS: We did a population-based survey in Rakai, Uganda, using data from the Rakai Community Cohort Study. The study surveyed all individuals aged 15–49 years in four high-prevalence Lake Victoria fishing communities and 36 neighbouring inland communities. Viral RNA was deep sequenced from participants infected with HIV who were antiretroviral therapy-naive during the observation period. Phylogenetic analysis was used to infer partial HIV transmission networks, including direction of transmission. Reconstructed networks were interpreted through data for current residence and migration history. HIV transmission flows within and between high-prevalence and low-prevalence areas were quantified adjusting for incomplete sampling of the population. FINDINGS: Between Aug 10, 2011, and Jan 30, 2015, data were collected for the Rakai Community Cohort Study. 25 882 individuals participated, including an estimated 75·7% of the lakeside population and 16·2% of the inland population in the Rakai region of Uganda. 5142 participants were HIV-positive (2703 [13·7%] in inland and 2439 [40·1%] in fishing communities). 3878 (75·4%) people who were HIV-positive did not report antiretroviral therapy use, of whom 2652 (68·4%) had virus deep-sequenced at sufficient quality for phylogenetic analysis. 446 transmission networks were reconstructed, including 293 linked pairs with inferred direction of transmission. Adjusting for incomplete sampling, an estimated 5·7% (95% credibility interval 4·4–7·3) of transmissions occurred within lakeside areas, 89·2% (86·0–91·8) within inland areas, 1·3% (0·6–2·6) from lakeside to inland areas, and 3·7% (2·3–5·8) from inland to lakeside areas. INTERPRETATION: Cross-community HIV transmissions between Lake Victoria hotspots and surrounding inland populations are infrequent and when they occur, virus more commonly flows into rather than out of hotspots. This result suggests that targeted interventions to these hotspots will not alone control the epidemic in inland populations, where most transmissions occur. Thus, geographical targeting of high prevalence areas might not be effective for broader epidemic control depending on underlying epidemic dynamics. FUNDING: The Bill & Melinda Gates Foundation, the National Institute of Allergy and Infectious Diseases, the National Institute of Mental Health, the National Institute of Child Health and Development, the Division of Intramural Research of the National Institute for Allergy and Infectious Diseases, the World Bank, the Doris Duke Charitable Foundation, the Johns Hopkins University Center for AIDS Research, and the President's Emergency Plan for AIDS Relief through the Centers for Disease Control and Prevention. Elsevier B.V 2020-01-14 /pmc/articles/PMC7167508/ /pubmed/31953184 http://dx.doi.org/10.1016/S2352-3018(19)30378-9 Text en © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ratmann, Oliver
Kagaayi, Joseph
Hall, Matthew
Golubchick, Tanya
Kigozi, Godfrey
Xi, Xiaoyue
Wymant, Chris
Nakigozi, Gertrude
Abeler-Dörner, Lucie
Bonsall, David
Gall, Astrid
Hoppe, Anne
Kellam, Paul
Bazaale, Jeremiah
Kalibbala, Sarah
Laeyendecker, Oliver
Lessler, Justin
Nalugoda, Fred
Chang, Larry W
de Oliveira, Tulio
Pillay, Deenan
Quinn, Thomas C
Reynolds, Steven J
Spencer, Simon E F
Ssekubugu, Robert
Serwadda, David
Wawer, Maria J
Gray, Ronald H
Fraser, Christophe
Grabowski, M Kate
Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda
title Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda
title_full Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda
title_fullStr Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda
title_full_unstemmed Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda
title_short Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda
title_sort quantifying hiv transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in rakai, uganda
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167508/
https://www.ncbi.nlm.nih.gov/pubmed/31953184
http://dx.doi.org/10.1016/S2352-3018(19)30378-9
work_keys_str_mv AT ratmannoliver quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT kagaayijoseph quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT hallmatthew quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT golubchicktanya quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT kigozigodfrey quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT xixiaoyue quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT wymantchris quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT nakigozigertrude quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT abelerdornerlucie quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT bonsalldavid quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT gallastrid quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT hoppeanne quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT kellampaul quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT bazaalejeremiah quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT kalibbalasarah quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT laeyendeckeroliver quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT lesslerjustin quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT nalugodafred quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT changlarryw quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT deoliveiratulio quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT pillaydeenan quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT quinnthomasc quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT reynoldsstevenj quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT spencersimonef quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT ssekubugurobert quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT serwaddadavid quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT wawermariaj quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT grayronaldh quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT fraserchristophe quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT grabowskimkate quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda
AT quantifyinghivtransmissionflowbetweenhighprevalencehotspotsandsurroundingcommunitiesapopulationbasedstudyinrakaiuganda